Book Image

MongoDB Administrator???s Guide

By : Cyrus Dasadia
Book Image

MongoDB Administrator???s Guide

By: Cyrus Dasadia

Overview of this book

MongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of the systems that power many different organizations. Packed with many features that have become essential for many different types of software professional and incredibly easy to use, this cookbook contains more than 100 recipes to address the everyday challenges of working with MongoDB. Starting with database configuration, you will understand the indexing aspects of MongoDB. The book also includes practical recipes on how you can optimize your database query performance, perform diagnostics, and query debugging. You will also learn how to implement the core administration tasks required for high-availability and scalability, achieved through replica sets and sharding, respectively. You will also implement server security concepts such as authentication, user management, role-based access models, and TLS configuration. You will also learn how to back up and recover your database efficiently and monitor server performance. By the end of this book, you will have all the information you need—along with tips, tricks, and best practices—to implement a high-performance MongoDB solution.
Table of Contents (17 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Monitoring MongoDB performance with mongostat


In this recipe, we will take a look at the mongostat utility, which is bundled with standard MongoDB binary distributions. This tool gives good insights into MongoDB utilization and is also capable of being used programmatically.

Getting ready

For this recipe, at a minimum, you need a single-node MongoDB setup.

How to do it...

  1. Connect to you mongod instance and run a bunch of inserts, updates, and deletes:
use mydb

for(var x=0; x<20000; x++){
  db.mycol.insert({age:(Math.round(Math.random()*100)%20)});
  db.mycol.findAndModify({query: {age: (Math.round(Math.random()*100)%20)}, update:{$inc: {age: 2}}});
  db.mycol.remove({age:(Math.round(Math.random()*100)%20)});
}
  1. In a separate Terminal, execute the mongostat command. You should see output similar to this:
  1. Execute mongostat to only give the insert rate and count:
mongostat -o 'host,metrics.document.inserted.rate()=insert_rate,metrics.document.inserted=inserted_count'
  1. You should see output similar...